Senior DevOps Engineer Job at Prompt

Senior DevOps Engineer

Prompt

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

180000.00 - 200000.00 USD / Year

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Job Description:

Prompt is revolutionizing healthcare by delivering highly automated and modern B2B enterprise software to rehab therapy businesses, their teams, and the patients they serve. We have established ourselves as the go-to platform in the space, setting a new standard in healthcare technology and rapidly growing our market share. We’re constantly identifying new challenges across outpatient therapy and the broader healthcare space. As a Senior DevOps Engineer at Prompt Therapy, you will play a crucial role in managing and improving our infrastructure and deployment process, ensuring scalability, security, and reliability. As we continue to innovate, you will also lead the charge in building and scaling the infrastructure that powers and monitors our AI-driven features.

Job Responsibility:

Design, implement, and manage highly available infrastructure for our cloud-based platforms (AWS)
Work with our internal engineering teams to architect and support AI/ML infrastructure, specifically managing AWS Lambda infrastructure, and some legacy SageMaker environments for model training, hosting, and inference
Create and automate robust deployment pipelines using CI/CD tools (GitLab / GitHub Actions) for both web applications and machine learning models
Build, maintain, and scale containerized applications with Docker and ECS/Fargate
Implement MLOps best practices to streamline the transition of models from development to production
Ensure system scalability and reliability through proactive monitoring, logging, and automated alerting
Collaborate with both Product Engineers and Data Scientists to optimize performance, security, and infrastructure costs
Manage and evolve our Infrastructure as Code (IaC) footprint

Requirements:

5+ years of experience in a DevOps or infrastructure role
Expert knowledge of cloud platforms such as AWS, GCP and Azure
Strong experience with containerization technologies (Docker, ECS / Kubernetes)
Proven track record of designing and managing complex CI/CD pipelines
Experience with MLOps workflows (model versioning, retraining pipelines, or feature stores)
Hands-on experience with monitoring and logging tools (Datadog, Prometheus, Grafana, MLflow)
Expertise in scripting languages (Python is a must, along with Bash, Go, etc.)
Proficiency with infrastructure automation tools (Terraform, Ansible, or CloudFormation)
Excellent communication skills and the ability to bridge the gap between traditional DevOps and Data Science teams

Nice to have:

Specific experience in AWS Lambda, SageMaker and other related AI/ML services
Experience with database management (SQL/NoSQL) and data pipeline orchestration, including Google BigQuery
Knowledge of security best practices specifically regarding data privacy in AI and healthcare (HIPAA compliance)
Previous experience in fast-paced, agile startup environments

What we offer:

Competitive salaries
Remote/hybrid environment
Potential equity compensation for outstanding performance
Flexible PTO
Company-wide sponsored lunches
Company paid disability and life insurance benefits
Company paid family and medical leave
Medical, dental, and vision insurance benefits
Discounted pet insurance
FSA/DCA and commuter benefits
401k
Complimentary subscription to digital fitness classes and wellness content
Recovery suite at HQ – includes a cold plunge, sauna, and shower

Additional Information:

Job Posted:
February 21, 2026

Employment Type:

Fulltime

Work Type:

Remote work

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